172 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Shenzhen UniversityCN5 papers
- Guangdong Academy of SciencesCN4 papers
- Chinese University of Hong KongHK2 papers
- Guangdong University of TechnologyCN2 papers
- Harbin Institute of TechnologyCN2 papers
- Huazhong University of Science and TechnologyCN2 papers
- Shenzhen Academy of RoboticsCN2 papers
- Agency for Science, Technology and ResearchSG1 paper
- Beijing Institute of TechnologyCN1 paper
- Chinese Academy of SciencesCN1 paper
- City University of MacauMO1 paper
- Guangdong Food Industry Research InstituteCN1 paper
6 papers · 1 filter
BodyFormer: Semantics-guided 3D Body Gesture Synthesis with Transformer
Kunkun Pang, Dafei Qin, Yingruo Fan +4
Automatic gesture synthesis from speech is a topic that has attracted researchers for applications in remote communication, video games and Metaverse. Learning the mapping between…
Model-based Transfer Learning for Automatic Optical Inspection based on domain discrepancy
Erik Isai Valle Salgado, Haoxin Yan, Yue Hong +8
Transfer learning is a promising method for AOI applications since it can significantly shorten sample collection time and improve efficiency in today's smart manufacturing. Howeve…
Improving Image Clustering through Sample Ranking and Its Application to remote--sensing images
Qinglin Li, Guoping Qiu
Image clustering is a very useful technique that is widely applied to various areas, including remote sensing. Recently, visual representations by self-supervised learning have gre…
Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition
Cheng Luo, Siyang Song, Weicheng Xie +2
The activations of Facial Action Units (AUs) mutually influence one another. While the relationship between a pair of AUs can be complex and unique, existing approaches fail to spe…
Self-Adversarial Training incorporating Forgery Attention for Image Forgery Localization
Long Zhuo, Shunquan Tan, Bin Li +1
Image editing techniques enable people to modify the content of an image without leaving visual traces and thus may cause serious security risks. Hence the detection and localizati…
Potential Escalator-related Injury Identification and Prevention Based on Multi-module Integrated System for Public Health
Zeyu Jiao, Huan Lei, Hengshan Zong +2
Escalator-related injuries threaten public health with the widespread use of escalators. The existing studies tend to focus on after-the-fact statistics, reflecting on the original…